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Image relaxation: restoration and feature extraction

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5 Author(s)
W. Snyder ; Bowman Gray Sch. of Med., Winston-Salem, NC ; Youn-Sik Han ; G. Bilbro ; R. Whitaker
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The techniques of a posteriori image restoration and iterative image feature extraction are described and compared. Image feature extraction methods known as graduated nonconvexity (GNC); variable conductance diffusion (VCD), anisotropic diffusion, and biased anisotropic diffusion (BAD), which extract edges from noisy images, are compared with a restoration/feature extraction method known as mean field annealing (MFA). All are shown to be performing the same basic operation: image relaxation. This equivalence shows the relationship between energy minimization methods and spatial analysis methods and between their respective parameters of temperature and scale. As a result of the equivalence, VCD is demonstrated to minimize a cost function, and that cost is specified explicitly. Furthermore, operations over scale space are shown to be a method of avoiding local minima

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IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:17 ,  Issue: 6 )